class_docstr: Inference model implementation for ragged batching for Mistral models.
code: def model_dim(self) -> int:
      return self._config.hidden_size
  
imports: from typing import Iterable, Optional, Tuple
  import torch
  import deepspeed.comm
  from ...allocator import empty_from
  from ...inference_utils import ActivationType, DtypeEnum
  from ...model_implementations import *
  from ...modules.configs import *
  from ...modules.interfaces import *
  from ...ragged import RaggedBatchWrapper
  from .container import MistralNonTransformerContainer, MistralTransformerContainer
label_desc: Use image node_id 3 for calling the MistralInferenceModel obj's underlying member method code with example usage: obj.model_dim() and returns: self